Show Table of Contents
10.6. Scheduling Geo-replication as a Cron Job
Cron is a daemon that can be used to schedule the execution of recurring tasks according to a combination of the time, day of the month, month, day of the week, and week. Cron assumes that the system is ON continuously. If the system is not ON when a task is scheduled, it is not executed. A script is provided to run geo-replication only when required or to schedule geo-replication to run during low I/O.
For more information on installing Cron and configuring Cron jobs, see https://access.redhat.com/documentation/en-US/Red_Hat_Enterprise_Linux/7/html-single/System_Administrators_Guide/index.html#ch-Automating_System_Tasks
The script provided to schedule the geo-replication session, performs the following:
- Stops the geo-replication session, if started
- Starts the geo-replication session
- Sets the Checkpoint
- Checks the status of checkpoint until it is complete
- After the checkpoint is complete, stops the geo-replication session
Run geo-replication Session
To run a geo-reolication session only when required, run the following script:
# python /usr/share/glusterfs/scripts/schedule_georep.py MASTERVOL SLAVEHOST SLAVEVOL
For example,
# python /usr/share/glusterfs/scripts/schedule_georep.py Volume1 example.com slave-vol
Run the following command to view the help:
# python /usr/share/glusterfs/scripts/schedule_georep.py --help
Schedule a Cron Job
To schedule geo-replication to run automatically using Cron:
minute hour day month day-of-week directory_and_script-to-execute MASTERVOL SLAVEHOST SLAVEVOL >> log_file_for_script_output
For example, to run geo-replication daily at 20:30 hours, run the following:
30 20 * * * root python /usr/share/glusterfs/scripts/schedule_georep.py --no-color Volume1 example.com slave-vol >> /var/log/glusterfs/schedule_georep.log 2>&1
Where did the comment section go?
Red Hat's documentation publication system recently went through an upgrade to enable speedier, more mobile-friendly content. We decided to re-evaluate our commenting platform to ensure that it meets your expectations and serves as an optimal feedback mechanism. During this redesign, we invite your input on providing feedback on Red Hat documentation via the discussion platform.